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README.md

@@ -1,168 +0,0 @@
----
-annotations_creators:
-- crowdsourced
-language_creators:
-- found
-language:
-- de
-- fr
-license:
-- mit
-multilinguality:
-- multilingual
-size_categories:
-- 10K<n<100K
-source_datasets: []
-task_categories:
-- text-classification
-task_ids:
-- fact-checking
-pretty_name: X-Stance
-tags:
-- stance-detection
----
-
-# Dataset Card for X-Stance
-
-## Table of Contents
-- [Table of Contents](#table-of-contents)
-- [Dataset Description](#dataset-description)
-  - [Dataset Summary](#dataset-summary)
-  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
-  - [Languages](#languages)
-- [Dataset Structure](#dataset-structure)
-  - [Data Instances](#data-instances)
-  - [Data Fields](#data-fields)
-  - [Data Splits](#data-splits)
-- [Dataset Creation](#dataset-creation)
-  - [Curation Rationale](#curation-rationale)
-  - [Source Data](#source-data)
-  - [Annotations](#annotations)
-  - [Personal and Sensitive Information](#personal-and-sensitive-information)
-- [Considerations for Using the Data](#considerations-for-using-the-data)
-  - [Social Impact of Dataset](#social-impact-of-dataset)
-  - [Discussion of Biases](#discussion-of-biases)
-  - [Other Known Limitations](#other-known-limitations)
-- [Additional Information](#additional-information)
-  - [Dataset Curators](#dataset-curators)
-  - [Licensing Information](#licensing-information)
-  - [Citation Information](#citation-information)
-  - [Contributions](#contributions)
-
-## Dataset Description
-
-- **Repository:** [https://github.com/ZurichNLP/xstance](https://github.com/ZurichNLP/xstance)
-- **Paper:** [http://ceur-ws.org/Vol-2624/paper9.pdf](http://ceur-ws.org/Vol-2624/paper9.pdf), [https://arxiv.org/abs/2003.08385](https://arxiv.org/abs/2003.08385)
-- **Point of Contact:** [Jannis Vamvas](https://twitter.com/j_vamvas)
-
-### Dataset Summary
-
-The x-stance dataset contains more than 150 political questions, and 67k comments written by candidates on those questions. The comments are partly German, partly French and Italian. The data have been extracted from the Swiss voting advice platform Smartvote.
-
-### Languages
-
-German, French/Italian
-
-## Dataset Structure
-
-### Data Instances
-An example of 'train' looks as follows:
-```
-{
-    'id': '0', 
-    'question': 'Eine Volksinitiative fordert, dass die Gesamtfläche der Bauzonen in der Schweiz für die nächsten 20 Jahre auf dem heutigen Stand begrenzt wird. Befürworten Sie dieses Anliegen?', 
-    'comment': 'Eine fixe Grösse verbieten, ist das falsche Mittel', '
-    'label': 0
-}
-```
-
-### Data Fields
-
-- `id`: a 'string' feature.
-- `question`: a 'string' expressing a claim/topic.
-- `comment`: a 'string' to be classified for its stance to the source.
-- `label`: 
-```
-            0: "AGAINST",
-            1: "FAVOR"
-```
-
-### Data Splits
-
-|languages|name|instances|
-|---------|----|----:|
-|de|train|33850|
-|de|validation|2871|
-|de|test|11891|
-|fr|train|11790|
-|fr|validation|1055|
-|fr|test|5814|
-
-## Dataset Creation
-
-### Curation Rationale
-
-[More Information Needed]
-
-### Source Data
-
-#### Initial Data Collection and Normalization
-
-[More Information Needed]
-
-#### Who are the source language producers?
-
-[More Information Needed]
-
-### Annotations
-
-#### Annotation process
-
-[More Information Needed]
-
-#### Who are the annotators?
-
-[More Information Needed]
-
-### Personal and Sensitive Information
-
-[More Information Needed]
-
-## Considerations for Using the Data
-
-### Social Impact of Dataset
-
-[More Information Needed]
-
-### Discussion of Biases
-
-[More Information Needed]
-
-### Other Known Limitations
-
-[More Information Needed]
-
-## Additional Information
-
-### Dataset Curators
-
-[More Information Needed]
-
-### Licensing Information
-
-[MIT License](https://github.com/ZurichNLP/xstance/blob/master/LICENSE)
-
-### Citation Information
-
-```
-@article{vamvas2020x,
-  title={X-stance: A multilingual multi-target dataset for stance detection},
-  author={Vamvas, Jannis and Sennrich, Rico},
-  journal={arXiv preprint arXiv:2003.08385},
-  year={2020}
-}
-```
-
-### Contributions
-
-Thanks to [mkonxd](https://github.com/mkonxd), [leondz](https://github.com/leondz) for adding this dataset.

dataset_infos.json

@@ -1 +0,0 @@
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x-stance.py

@@ -1,102 +0,0 @@
-# Copyright 2022 Mads Kongsbak and Leon Derczynski
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-"""X-stance dataset for German and French/Italian stance detection"""
-
-
-import csv
-import json
-import os
-
-import datasets
-
-_CITATION = """\
-@inproceedings{vamvas2020xstance,
-    author    = "Vamvas, Jannis and Sennrich, Rico",
-    title     = "{X-Stance}: A Multilingual Multi-Target Dataset for Stance Detection",
-    booktitle = "Proceedings of the 5th Swiss Text Analytics Conference (SwissText) \& 16th Conference on Natural Language Processing (KONVENS)",
-    address   = "Zurich, Switzerland",
-    year      = "2020",
-    month     = "jun",
-    url       = "http://ceur-ws.org/Vol-2624/paper9.pdf"
-}
-"""
-
-_DESCRIPTION = """\
-The x-stance dataset contains more than 150 political questions, and 67k comments written by candidates on those questions. The comments are partly German, partly French and Italian. The data have been extracted from the Swiss voting advice platform Smartvote.
-"""
-
-_HOMEPAGE = ""
-
-_LICENSE = "cc-by-4.0"
-
-class XStanceConfig(datasets.BuilderConfig):
-
-    def __init__(self, **kwargs):
-        super(XStanceConfig, self).__init__(**kwargs)
-
-class XStance(datasets.GeneratorBasedBuilder):
-    """The x-stance dataset split into two datasets in German and French/Italian"""
-
-    VERSION = datasets.Version("1.0.0")
-
-    BUILDER_CONFIGS = [
-        XStanceConfig(name="de", version=VERSION, description=""),
-        XStanceConfig(name="fr", version=VERSION, description="")
-    ]
-    
-    def _info(self):
-        features = datasets.Features(
-            {
-                "id": datasets.Value("string"),
-                "question": datasets.Value("string"),
-                "comment": datasets.Value("string"),
-                "label": datasets.features.ClassLabel(
-                    names=[
-                        "AGAINST",
-                        "FAVOR",
-                    ]
-                )
-            }
-        )
-
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        train_text = dl_manager.download_and_extract(f"x-stance-train-{self.config.name}.csv")
-        valid_text = dl_manager.download_and_extract(f"x-stance-valid-{self.config.name}.csv")
-        test_text  = dl_manager.download_and_extract(f"x-stance-test-{self.config.name}.csv")
-        
-        return [
-            datasets.SplitGenerator(name=datasets.Split.TRAIN,      gen_kwargs={"filepath": train_text, "split": "train"}),
-            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": valid_text, "split": "validation"}),
-            datasets.SplitGenerator(name=datasets.Split.TEST,       gen_kwargs={"filepath": test_text,  "split": "test"}),
-        ]
-
-    def _generate_examples(self, filepath, split):
-        with open(filepath, encoding="utf-8") as f:
-            reader = csv.DictReader(f, delimiter=",")
-            guid = 0
-            for instance in reader:
-                instance["question"] = instance.pop("question")
-                instance["comment"] = instance.pop("comment")
-                instance["label"] = instance.pop("label")
-                instance['id'] = str(guid)
-                yield guid, instance
-                guid += 1